{"id":183610,"date":"2024-04-17T09:58:00","date_gmt":"2024-04-17T08:58:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=183610"},"modified":"2024-03-23T22:36:37","modified_gmt":"2024-03-23T21:36:37","slug":"excel-linear-regression-complete-guide","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/excel-linear-regression-complete-guide","title":{"rendered":"Excel Linear regression: Complete guide"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"183610\" class=\"elementor elementor-183610\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f64d831 e-flex e-con-boxed e-con\" data-id=\"f64d831\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2e28b1e elementor-widget elementor-widget-heading\" data-id=\"2e28b1e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Excel Linear regression is one of the statistical concepts that must be mastered when designing predictive analyses and machine learning models.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5702191 elementor-widget elementor-widget-text-editor\" data-id=\"5702191\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>While this is one of the mathematical basics you need to know, calculating it can be more or less complex. Fortunately, there are various tools available to make your predictions much more reliable.<\/p><p>This is particularly true of <strong>linear regression calculations in Excel.<\/strong> So how do you go about it?<\/p><p>DataScientest explains all the steps you need to take.<\/p><p>\u00a0<\/p><p>\ud83d\udca1Related articles:<\/p><table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\" data-sheets-root=\"1\"><colgroup><col width=\"656\" \/><\/colgroup><tbody><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Excel VBA: How to automate tasks with this language&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/excel-vba-how-to-automate-tasks-with-this-language\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/excel-vba-how-to-automate-tasks-with-this-language\" target=\"_blank\" rel=\"noopener\">Excel VBA: How to automate tasks with this language<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Pie Chart Excel: Mastering Data Visualization &quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/mastering-data-visualization-a-deep-dive-into-pie-charts-in-excel\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/mastering-data-visualization-a-deep-dive-into-pie-charts-in-excel\" target=\"_blank\" rel=\"noopener\">Pie Chart Excel: Mastering Data Visualization <\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Creating Stunning Excel Charts: A Step-by-Step Guide&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/creating-stunning-excel-charts-a-step-by-step-guide\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/creating-stunning-excel-charts-a-step-by-step-guide\" target=\"_blank\" rel=\"noopener\">Creating Stunning Excel Charts: A Step-by-Step Guide<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Efficient Excel Data Formatting Based on Cell Values&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/efficient-excel-data-formatting-based-on-cell-values\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/efficient-excel-data-formatting-based-on-cell-values\" target=\"_blank\" rel=\"noopener\">Efficient Excel Data Formatting Based on Cell Values<\/a><\/td><\/tr><\/tbody><\/table><p>\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c263f64 e-flex e-con-boxed e-con\" data-id=\"c263f64\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b8d8254 elementor-widget elementor-widget-heading\" data-id=\"b8d8254\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is Ecel linear regression?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3b7ec75 elementor-widget elementor-widget-text-editor\" data-id=\"3b7ec75\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Before we look at how <strong>linear regression works in Excel,<\/strong> we need to understand linear regression. A quick reminder is in order!<\/p><p>In practical terms, linear regression is used to analyse the relationship between an independent variable (or explanatory variable) and a dependent variable (or target variable). This statistical technique is expressed as follows:<\/p><p>Y = aX + b<\/p><p>where :<\/p><p><strong>Y= the dependent variable you are trying to predict.<\/strong><br \/><strong>X= the independent variable that explains Y.<\/strong><br \/><strong>a = the slope coefficient which represents how Y changes as a function of X.<\/strong><br \/><strong>b = the y-intercept, which is the value of Y when X is zero.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-41b36b8 elementor-widget elementor-widget-text-editor\" data-id=\"41b36b8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The aim is to create a model that can be used to make predictions about the dependent variable based on the values of the explanatory variable.<\/p><p>While<strong> Excel linear regression<\/strong> can always be used to explain a dependent variable, it can use a single independent variable (simple linear regression) or several independent variables (<a href=\"https:\/\/datascientest.com\/en\/exploring-multiple-linear-regression-definition-and-applications\">multiple linear regression<\/a>).<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e4ad113 elementor-widget elementor-widget-image\" data-id=\"e4ad113\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/regression-lineaire-excel-1.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-02ad014 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"02ad014\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/power-bi-training\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Training in data analysis<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9fdf3db e-flex e-con-boxed e-con\" data-id=\"9fdf3db\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-819b948 elementor-widget elementor-widget-heading\" data-id=\"819b948\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How do I use Excel linear regression?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6762762 elementor-widget elementor-widget-text-editor\" data-id=\"6762762\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>There are several functions for calculating<strong> linear regression in Excel.<\/strong> They allow you to calculate either multiple regression, simple regression or both.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a7569e8 elementor-widget elementor-widget-heading\" data-id=\"a7569e8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">The RightReg function<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8b46969 elementor-widget elementor-widget-text-editor\" data-id=\"8b46969\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The matrix function DroiteReg (or Linest in English) can be used to calculate both simple linear regression and multiple linear regression in Excel.<\/p><p>Here&#8217;s how to do it:<\/p><ul><li>Identify your dependent values Y and your independent values X. These must be in two separate columns.<\/li><li>Click on the cell where you want to display the results of the linear regression with Excel. This may be a new worksheet or a range of empty cells.<\/li><li>Enter the formula &#8220;=RightReg(Y, X)&#8221; where &#8220;Y&#8221; corresponds to the range of cells containing the values of the dependent variable (for example, rows 2 to 17 in column A) and &#8220;X&#8221; corresponds to the range of cells containing the values of the independent variable (for example, rows 2 to 17 in column B).<\/li><li>To repeat the example, you would type the formula &#8220;=RightReg(A2:A17, B2:B17)&#8221;.<\/li><li>Click on &#8220;Enter&#8221;.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-171a527 elementor-widget elementor-widget-text-editor\" data-id=\"171a527\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Excel automatically calculates the linear regression and displays the results in the selected cells. You will then see two values appear:<\/strong> the regression coefficient (the slope) and the y-intercept.<\/p><p>If you want to calculate a multiple linear regression with Excel, you can also use this formula. In this case, simply add the other columns containing the values of the dependent variable, separating them by commas. For example, if your cell range A can be explained by the values contained in columns B, C and D, your formula will look like this: &#8220;=RightReg(A2:A17,B2:B17,C2:C17,D2:D17)&#8221;.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-92c1601 elementor-widget elementor-widget-heading\" data-id=\"92c1601\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">The Trend function<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-de6f92b elementor-widget elementor-widget-text-editor\" data-id=\"de6f92b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The<strong> Trend function<\/strong> can be used to calculate simple linear regression in Excel. In this case, the operation is similar to that of the StraightReg function. Note :<\/p><ul><li>Click on the cell where you want to display the results of the linear regression with Excel.<\/li><li>Enter the formula &#8220;=Trend(A2:A17, B2:B17)&#8221;.<\/li><li>Click on &#8220;Enter&#8221;.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-37789cf elementor-widget elementor-widget-text-editor\" data-id=\"37789cf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Although the formula is almost identical to the previous one, the result is different. The trend function does not isolate the slope and <strong>y-intercept parameters.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-85dc72d elementor-widget elementor-widget-image\" data-id=\"85dc72d\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/regression-lineaire-excel-2.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-826f2e6 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"826f2e6\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/power-bi-training\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn how to use linear regression<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f6413be elementor-widget elementor-widget-heading\" data-id=\"f6413be\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">The Excel linear regression option<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cfce1f7 elementor-widget elementor-widget-text-editor\" data-id=\"cfce1f7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The<a href=\"https:\/\/datascientest.com\/en\/the-unit-test-in-data-analysis\"> Data Analysis<\/a> option available in your Excel spreadsheet allows you to obtain complete information for linear regression. Here are the steps to follow:<\/p><ul><li>Go to the &#8220;Data&#8221; tab;<\/li><li>Click on &#8220;Data analysis&#8221; in the &#8220;Analysis&#8221; group. <br \/>Select the linear regression.<\/li><li>A &#8220;Data analysis&#8221; dialogue box appears. Choose &#8220;Regression&#8221; from the available tools and enter the required parameters:<\/li><li>In the &#8220;Dependent variable&#8221; box, enter the cell containing your dependent variable (Y).<\/li><li>In the &#8220;Independent variable(s)&#8221; field, enter the cells containing your independent variables (X). If you have several independent variables, separate them with commas.<\/li><li>Check the &#8216;Regression output&#8217; box to obtain additional information about the analysis, such as residuals, fit statistics, etc.<\/li><li>Click on OK.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6a89e8b elementor-widget elementor-widget-text-editor\" data-id=\"6a89e8b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Excel then performs the <strong>linear regression analysis<\/strong> and displays the results in the worksheet or range of cells specified. This option displays a range of additional information, such as <strong>regression coefficients,<\/strong> slope and y-intercept values, fit statistics, t-values, p-values and so on.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fe78135 elementor-widget elementor-widget-heading\" data-id=\"fe78135\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Graphing linear regression with Excel<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-be173c5 elementor-widget elementor-widget-text-editor\" data-id=\"be173c5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>It is also possible to represent the linear model graphically using Excel. Here are the steps to follow:<\/p><ul><li>Select all your data;<\/li><li>Click on &#8220;Insert&#8221;, then &#8220;Chart&#8221;;<\/li><li>On the scatter plot, click on &#8220;Chart tools&#8221;, then &#8220;Add an element to the chart&#8221; to display the axis titles, the chart title and a legend.<\/li><li>To plot the linear line, right-click on the curve and click on &#8220;add a trend line&#8221;.<\/li><li>Select &#8220;linear&#8221;, then tick &#8220;display equation&#8221;, then &#8220;display coefficient of determination&#8221;.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-721302d e-flex e-con-boxed e-con\" data-id=\"721302d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9f822a2 elementor-widget elementor-widget-heading\" data-id=\"9f822a2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Master Excel with DataScientest <\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1bd7a27 elementor-widget elementor-widget-text-editor\" data-id=\"1bd7a27\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Microsoft Excel<\/strong> is the essential tool for analysing data. It enables you to perform a range of calculations, such as simple or multiple linear regression&#8230;<\/p><p>And if you want to<a href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-all-about-the-job\"> develop complex Machine Learning models<\/a>, you will also need to master programming languages such as R, Python&#8230; And it&#8217;s precisely through our data science training course that you will be able to master all the tools that are essential for <a href=\"https:\/\/datascientest.com\/en\/predictive-elevator-maintenance-challenges-and-technology\">predictive data analysis<\/a> and machine learning.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69d754d elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"69d754d\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover our Data training courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-709ad60 elementor-widget elementor-widget-html\" data-id=\"709ad60\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is linear regression?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Before we look at how linear regression works in Excel, we need to understand linear regression. A quick reminder is in order! In practical terms, linear regression is used to analyse the relationship between an independent variable (or explanatory variable) and a dependent variable (or target variable).\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"How do I use linear regression with Excel?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"There are several functions for calculating linear regression in Excel. They allow you to calculate either multiple regression, simple regression or both.\n      The LineReg function: the LineReg (or Linest) matrix function can be used to calculate both simple linear regression and multiple linear regression in Excel.\n      The Trend function: the Trend function can be used to calculate only simple linear regression in Excel. In this case, the operation is similar to the StraightReg function.\n      The Regression option: The Data Analysis option available in your Excel worksheet allows you to obtain complete information for the linear regression.\"\n    }\n  }]\n}\n<\/script>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Excel Linear regression is one of the statistical concepts that must be mastered when designing predictive analyses and machine learning models. While this is one of the mathematical basics you need to know, calculating it can be more or less complex. Fortunately, there are various tools available to make your predictions much more reliable. This [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":183612,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Excel Linear regression: Complete guide<\/title>\n<meta name=\"description\" content=\"Performing Excel Linear regression analysis can be accomplished using various methods, including built-in functions,\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/excel-linear-regression-complete-guide\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Excel Linear regression: Complete guide\" \/>\n<meta property=\"og:description\" content=\"Excel Linear regression is one of the statistical concepts that must be mastered when designing predictive analyses and machine learning models. 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